Cost of Bad Data Calculator
Quantify the business impact of data quality issues in your organization. Input your metrics and get an instant estimate of what bad data is costing you.
Choose a preset to auto-fill typical values for your department
Number of records across your key data systems
Industry average is 1-5% for enterprise data
Time your team spends finding and fixing data problems
Include salary, benefits, and overhead
Average cost to identify and correct a single data error
Revenue impacted by data-dependent processes
per year in direct and indirect costs
Labor Cost
15 hrs/week × 52 weeks × $75/hr
Rework Cost
15,000 errors × $10/error
Revenue Impact
3% of $5,000,000 at-risk revenue
See how Neomir reduces this cost
Our customers typically see 50-70% reduction in data quality costs within the first year.
Book a Demo* These calculations are estimates based on industry research and the inputs you provided. Actual costs may vary significantly based on your specific business context, data complexity, and operational factors.
How We Calculate
Our calculator uses a simplified model based on industry research to estimate the cost of data quality issues:
- Labor Cost: Hours spent on data issues × weeks per year × hourly rate
- Rework Cost: Number of errors (records × error rate) × cost per error to fix
- Revenue Impact: Estimated revenue at risk × error rate (as a proxy for lost/delayed revenue)
According to Gartner, poor data quality costs organizations an average of $12.9 million per year. IBM estimates that bad data costs the US economy $3.1 trillion annually.
Note: This calculator provides estimates for illustrative purposes. Actual costs vary significantly based on industry, company size, data complexity, and specific business processes.